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EMNLP
2009
13 years 5 months ago
Unsupervised Semantic Parsing
We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, r...
Hoifung Poon, Pedro Domingos
FMSP
2000
ACM
177views Formal Methods» more  FMSP 2000»
13 years 12 months ago
DSD: A schema language for XML
XML (eXtensible Markup Language) is a linear syntax for trees, which has gathered a remarkable amount of interest in industry. The acceptance of XML opens new venues for the appli...
Nils Klarlund, Anders Møller, Michael I. Sc...
FSTTCS
1993
Springer
13 years 11 months ago
Induce-Statements and Induce-Expressions: Constructs for Inductive Programming
A for-loop is somewhat similar to an inductive argument. Just as the truth of a proposition P(n + 1) depends on the truth of P(n), the correctness of iteration n+1 of a for-loop de...
Theodore S. Norvell
ISDA
2010
IEEE
13 years 5 months ago
Improving statistical parsing by linguistic regularization
Statistically-based parsers for large corpora, in particular the Penn Tree Bank (PTB), typically have not used all the linguistic information encoded in the annotated trees on whic...
Igor Malioutov, Robert C. Berwick
PODS
2010
ACM
170views Database» more  PODS 2010»
14 years 19 days ago
A learning algorithm for top-down XML transformations
A generalization from string to trees and from languages to translations is given of the classical result that any regular language can be learned from examples: it is shown that ...
Aurélien Lemay, Sebastian Maneth, Joachim N...